Techopedia Explains AnonymizationIf someone sends a file, there may be information on the file that leaves a trail to the sender. The sender's information may be traced from the data logged after the file is sent. However, once the file is anonymized, data associated with it being sent cannot be traced to the sender, at least in theory.
Data anonymization is a technique that will not take away the original field layout (position, size and data type) of the data being anonymized, so the data will still look realistic in test data environments.
One aspect of anonymization that may worry individuals who value their privacy is that the process can be reversed. Many current techniques associated with anonymization can be bypassed as there are ways to reveal stripped personally-identifying information (PII) from datasets. One way this information can be revealed is with cross referencing any sets of records still visible. This is called de-anonymizing.
- INFOGRAPHIC: 9 Tips for Keeping Your Internet Use Private
- 5 Ways to Protect Online Privacy
- Mainframes Aren't Dead
- Top Tips for Monetizing Data Through Machine Learning
- The 5 Risks of Sharing your Password
- Predictive Maintenance: Ensuring Business Continuity with AI